Investigation of vision impairments using pattern reversal VEPs and extreme learning machine
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Po...
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2013
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my.unimap-304642013-12-12T03:36:35Z Investigation of vision impairments using pattern reversal VEPs and extreme learning machine Vijean, Vikneswaran Hariharan, Muthusamy Sazali, Yaacob, Prof. Dr. vicky.86max@gmail.com hari@unimap.edu.my Visually evoked potential Vision impairment Wavelet Statistical features ELM The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Analysis of vision impairment using pattern reversal visually evoked potentials (VEP) is gaining interest from researchers. The VEPs are collected using non-invasive EEG electrodes from the scalp overlaying the occipital lobe while the subject is presented with a pattern reversal checkerboard stimulus. The ophthalmologist is able to determine the abnormalities in visual pathways of a person by investigating these responses. The existing method however, is centered on the detection of amplitude and latency values of the signals. The ensemble averaging technique used to extract these information‟s would result in the variation between the single trials to be lost. The long period of testing and averaging could also result in patients fatigue and compromise the accuracy of the diagnosis. Hence, the analysis of single trial VEPs using wavelet transform is investigated in this paper. Biortogonal spline wavelets are applied to the VEP signals, and statistical features are extracted from the reconstructed signal for the classification. Extreme learning machine is used to distinguish the vision impairments and 92.87% accuracy is achieved using the proposed method. 2013-12-12T03:36:35Z 2013-12-12T03:36:35Z 2012-06-18 Working Paper p. 774-779 978-967-5760-11-2 http://hdl.handle.net/123456789/30464 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP) |
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Visually evoked potential Vision impairment Wavelet Statistical features ELM |
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Visually evoked potential Vision impairment Wavelet Statistical features ELM Vijean, Vikneswaran Hariharan, Muthusamy Sazali, Yaacob, Prof. Dr. Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
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The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. |
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vicky.86max@gmail.com |
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vicky.86max@gmail.com Vijean, Vikneswaran Hariharan, Muthusamy Sazali, Yaacob, Prof. Dr. |
format |
Working Paper |
author |
Vijean, Vikneswaran Hariharan, Muthusamy Sazali, Yaacob, Prof. Dr. |
author_sort |
Vijean, Vikneswaran |
title |
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
title_short |
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
title_full |
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
title_fullStr |
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
title_full_unstemmed |
Investigation of vision impairments using pattern reversal VEPs and extreme learning machine |
title_sort |
investigation of vision impairments using pattern reversal veps and extreme learning machine |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/30464 |
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1643795620481204224 |